Data Scientist Intern - Supplier Management Analytics & AI

Experience our benefits:

• Paid internship within a global, technology driven company.
• Join an international work environment, with opportunities for learning, professional development, and networking across teams.
• Access to our intern community, including career development workshops, learning sessions, and social activities that help you grow professionally and connect with other interns.
• Mentor assigned.
• Opportunity to join the HP Graduate Program following the placement.
• Lunch at reduced prices at our canteen.
• Access to our on‑site sports center, including:
• Gym facilities
• Squash, tennis, and basketball courts
• 25+ organized sports and wellness activities, such as HIIT training, squash, basketball, and yoga
• Participation in the NextGen Employee Network, offering regular events and opportunities to connect with other early‑career professionals.
• On‑site medical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare.
• Free printing access and hands‑on workshops using the latest HP technologies - from large‑format prints to 3D‑printed models.
• Easy commuting: Free parking available or excellent access via nearby train services.
• Women Network initiatives: Networking events, STEM promotion, business acumen talks, work-life balance sessions, and future‑skills development.

Sounds like you? Please apply and let's talk!

Data Scientist Intern - Supplier Management Analytics & AI

The Data Scientist Intern - Supplier Management Analytics & AI supports the Global Supplier Management organization by developing analytical solutions, AI-enabled capabilities, and reporting automation that improve supplier governance, performance management, commercial decision-making, and operational efficiency.

The role works closely with the Global Supplier Management Lead, Vendor Account Managers (VAMs), Operations, Procurement, Finance, and other stakeholders to transform data into actionable insights. The intern will contribute to strategic initiatives involving advanced analytics, business intelligence, forecasting, process automation, and Generative AI.

This position provides hands-on experience at the intersection of Data Science, Artificial Intelligence, Business Analytics, and Supplier Management within a global enterprise environment.

This role acts as the analytics and AI accelerator for the Supplier Management organization, enabling leaders and Vendor Account Managers to spend less time collecting data and more time driving supplier performance, governance excellence, risk reduction, and business value.

• Develop and maintain Power BI dashboards and executive reporting solutions.
• Analyze supplier, financial, commercial, and operational data to identify trends and opportunities.
• Build KPI, SLA, and supplier performance scorecards.
• Support QBRs, governance reviews, and executive presentations with data-driven insights.
• Perform ad hoc analyses to support strategic business decisions.
• Ensure data accuracy, consistency, and reporting quality.
• Identify opportunities to automate manual processes using AI and Power Platform tools.
• Develop prototypes using Generative AI, Microsoft Copilot, Python, and Machine Learning techniques.
• Support implementation of predictive analytics and forecasting models.
• Automate reporting, data preparation, and governance activities.
• Explore innovative uses of AI to improve supplier management effectiveness and team productivity.
• Support Vendor Account Managers in supplier performance and commercial analyses.
• Assist with spend analysis, benchmarking, rate competitiveness, and cost optimization initiatives.
• Help prepare business cases, executive summaries, and strategic recommendations.
• Participate in continuous improvement initiatives across the supplier management organization.
• Collaborate with cross-functional teams including Procurement, Finance, Legal, Operations, and Business Management.

Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain, remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program until June-July 2027.

• Flexible working schedule, with options for part-time agreements (4 hours/day) or full-time (8 hours/day). The length of the internship ranges from 4 to 12 months.

Full time

No shift premium (Spain)

• Python
• SQL
• Power BI
• Excel
• Data Modeling
• Data Visualization
• Statistical Analysis
• Machine Learning Fundamentals
• Generative AI
• Microsoft Copilot
• Power Automate
• Data Storytelling

• Adoption and business impact of dashboards and analytical solutions.
• Reduction in manual reporting effort through automation.
• Improved visibility of supplier performance and commercial metrics.
• Delivery of actionable insights supporting management decisions.
• Successful implementation of AI-enabled productivity enhancements.
• Positive stakeholder feedback from VAMs and leadership teams.

Administration